Instruction Interpretation Code

How does the brain use and interpret coding for so many neurons and connections?

We are supposed to have an average of about 100 billion neurons, with up to 10 000 synapses per neuron, which can add up to 1 quadrillion connections. How could our brain plausibly interpret the coding to recall memories, represented by combinations of these neurons and synapses? 

If our brains save information in a similar function to computers, in terms of binary code being a short form information representation, where brains use neural combinations instead of digit combinations, it seems our brains still would have to read the combinations using preset instructions for interpretation. I further explained my hypothesis of similarities between computer and brain memory, in a post from last week; Brain Bytes, but did not go into potential interpretation of memory. It seems computers have preset instructions to interpret binary code, so perhaps our brains are instinctively preset with instructions to interpret neural code.

Instructions for the number of potential combinations of neurons, seems almost impossible, but perhaps only more basic generalized instructions need to be preset, rather than instructions to interpret every potential combination. This may be similar to binary code. To explain it in basic concepts, the brain only has to be preset to interpret lightwave measurements for sight, soundwave measurements for sound, etc. If the neurons connected to each of the senses have that information pre-interpreted, then they can save various combinations of neurons, representing various combinations of what we sense. For eg, the human eye can see about 500 million pixels, so may have that same number of neurons (or more) for each pixel, but each neuron uses the same preset interpretation instructions for lightwave measurements. 

Pixel arrangements which our eyes perceive, can be saved and accessed as similar neuron arrangements. As long as that particular set of neurons is connected to that particular instruction interpreter, the interpretation should work for any neurons in that set or area (even if it’s 500 million+ neurons). Then if a pattern of pixels with similar lightwave measurements are perceived by the eyes, that pattern can be represented by a pattern of neurons. Physical formation of neurons representing perceived patterns, should be effective in the method of electrical flow to the neurons. Once a pattern is perceived once, electricity flows to a pattern of neurons. There is then an ease of electrical flow to that pattern of neurons, allowing easier memory recall, by sending another electrical flow to that same pattern. Same goes for other senses. 

Memory of an action would have to be memory of a time period, which would need to be saved as more than 1 static combination of neurons, representing more than 1 image. Memory of a time period could be represented by a sequence of neurons being activated. Similar to a video, a sequence of neurons would represent a sequence of images perceived by the eyes. Memory of a time period would be saved as patterns of neural combos being accessed in order that the visual images changed. Any movement which the eyes see, involves changes in lightwave measurements in a sequential pattern (of image patterns). Electricity to the neurons would just have to flow through the sequence of varying combinations. This can all be interpreted through the same preset instructions for coding, connected to those neurons.

1 difference in the function of brain memory compared to a computers’, seems to be, saving new and adaptable combinations. There may be methods of manually saving new combinations of data in computers, but it doesn’t seem to be pre programmed to automatically save these new combinations, the way the brain does. Computers and brains may be different in adaptability, but could still seemingly function similarly, regarding methods of saving and accessing stored information, as well as Instruction Interpretation Code.